Automatic Measurement of Crops Canopy Height Based on Monocular Vision

摘要：

Computer vision technology has been increasingly used for automatically observing crop growth state, but as one of the key parameters in the field of agro-meteorological observation, crop canopy height is still measured manually in the actual observation process up to now. In order to automatically measure the height based on the forward-and-downwardlooking image in the existing monocular vision observation system, a novel method is proposed, that is, to measure the canopy height indirectly by the solving algorithm for the actual height of the vertical objects (SAAH) with the help of the intelligent sensor device. The experiment results verified the feasibility and validity of our method, and that the method could meet the actual observation demand.

关键词： Automatic measurement crops canopy height monocular vision intelligent sensor device

作者: Zhenghong Yu Zhiguo Cao Xiaodong Bai

作者单位: National Key Lab of Sci. & Tech. on Multispectral Information Processing, Inst. For Pattern Recognit National Key Lab of Sci. & Tech. on Multispectral Information Processing,Inst. For Pattern Recogniti

会议类型: 国际会议

会议名称: 第七届多光谱图象处理与模式识别国际学术会议

会议地点: 桂林

会议语种:英文

页码: 1-7

在线出版日期: 2011-11-01（万方平台首次上网日期，不代表论文的发表时间）